Course criteria & registration

Objectives

Understanding difficult problems in the cognitive robotic research and apply possible solutions.
Upon successful completion of this lecture, students are able to analyze and apply
advanced techniques from Cognitive Intelligence in order to design a flexible imitation
reasoning system for a humanoid robot. After the completion of the module, the
students are able to evaluate the learned reasoning models which enable humanoid
robotic systems to reason about complex situations. Additionally, after this lecture, the
students are able to understand the difficult problems in the cognitive robotic research
area and they are able to apply the possible solutions. As a results, the students are
able to develop and produce models based on real problems using several higher-level
reasoning methods.

Prerequisites

Teaching and learning methods

Lectures will be held ex cathedra. Laboratory work will consolidate the students'
knowledge of the principles of the subject matter and deepen their understanding of
robotic learning methods from a higher level perspective.